Convexity constrained efficient superpixel and supervoxel extraction
作者：
Highlights：
• An iterative superpixel extraction method is proposed where only boundary pixels are updated for an efficient computation.
• Color term in the cost function enables strong adaptation on object boundaries and distance term enforces a geometry constrain.
• Extension of the method on spatio-temporal volume shows region adaptation in video footage.
• Superior or competing quantitative performance is observed in comparison with the state-of-the-art techniques.
摘要
Highlights•An iterative superpixel extraction method is proposed where only boundary pixels are updated for an efficient computation.•Color term in the cost function enables strong adaptation on object boundaries and distance term enforces a geometry constrain.•Extension of the method on spatio-temporal volume shows region adaptation in video footage.•Superior or competing quantitative performance is observed in comparison with the state-of-the-art techniques.
论文关键词：Superpixel,Segmentation,Geometry constrain,Supervoxel
论文评审过程：Received 10 February 2014, Revised 12 February 2015, Accepted 12 February 2015, Available online 20 February 2015.
论文官网地址：https://doi.org/10.1016/j.image.2015.02.005
